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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
Purposedifferent
When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.
Complexitydifferent
HighHighLow
Timedifferent
1-4 Wochen30-90 min Setup, danach laufend20-35 min
Participantsdifferent
6-30 Experten1-81-5
Formatdifferent
AsyncWorkshop + asyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesForecast Percentiles, Throughput Dataset, Risk CommunicationTest Card with a pre-set threshold
Tagsno overlap
ForecastingExpertsDecisionStrategy
ForecastingFlowDelivery
ExperimentsValidationDiscoveryHypothesis
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas